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Model Predictive Control Jobs in Richmond, BC (NOW HIRING)

Work Model: This is a fully onsite role, with work performed at your designated Regal Rexnord ... predictive maintenance of power distribution and generation systems, and control equipment or ...

... predictive modelling, collaborating with clients and internal teams to produce actionable ... Develop mineral prospectivity models, geological classification models, and geoscience data ...

... predictive models, metrics, and dashboards that deliver actionable insights * Visualize and report ... Understanding of version control systems (e.g., Git) for collaborative development * Ability to ...

... predictive models, metrics, and dashboards that deliver actionable insights * Visualize and report ... Understanding of version control systems (e.g., Git) for collaborative development * Ability to ...

... predictive insights and scalable growth. What you'll work on: * Own the multi-year vision and ... control improvement across the portfolio. * Establish SLAs, intake triage, and support models ...

... control and video security platform - products trusted by enterprise customers to secure their ... We operate on an "Automation First" model. Our Playwright/TypeScript web automation suite is wired ...

... activities, predictive maintenance data and KPIs. Key activities for this position include ... This role will work closely with Maintenance management, Maintenance Technicians, Control Systems ...

Model Predictive Control information

What is Model Predictive Control?

Model Predictive Control (MPC) is an advanced method of process control that uses a mathematical model to predict and optimize the future behavior of a system. It works by solving an optimization problem at each control step to determine the best sequence of control actions, taking into account system constraints and objectives. MPC is widely used in industries such as chemical processing, energy, and automotive because it can handle multivariable control problems and anticipate future events. Its predictive nature allows for improved performance, stability, and efficiency compared to traditional control methods.

What is the difference between Model Predictive Control vs Control Systems Engineer?

AspectModel Predictive ControlControl Systems Engineer
CredentialsEngineering degree, control theory, process modelingEngineering degree, control systems, automation
Work EnvironmentIndustrial automation, process control, manufacturingDesign, develop, and maintain control systems across industries
Industry UsageProcess industries, chemical, oil & gas, manufacturingAutomation, robotics, embedded systems, industrial sectors

Model Predictive Control (MPC) focuses on advanced control algorithms for optimizing processes, while Control Systems Engineers design and implement various control systems. MPC is a specialized skill within control engineering, often requiring knowledge of process modeling and optimization, whereas Control Systems Engineers have broader responsibilities across multiple control technologies. Both roles are essential in industrial automation but differ in scope and application.

What are the typical challenges faced by engineers working with Model Predictive Control (MPC) systems in an industrial setting?

Engineers working with Model Predictive Control systems often encounter challenges related to model accuracy, computational demands, and real-time implementation. Ensuring the process model accurately represents the plant dynamics is critical, as discrepancies can lead to suboptimal control performance. Additionally, MPC algorithms can be computationally intensive, particularly for large-scale or fast processes, requiring careful tuning and optimization to maintain real-time operation. Collaboration with process engineers and IT specialists is common, as integrating MPC with existing control systems and plant infrastructure is a key part of the role.

What are the key skills and qualifications needed to thrive as a Model Predictive Control (MPC) Engineer, and why are they important?

To thrive as a Model Predictive Control Engineer, you need strong foundations in control theory, applied mathematics, and process engineering, usually supported by a degree in engineering or a related field. Proficiency with simulation tools such as MATLAB/Simulink, programming languages like Python or C++, and familiarity with industrial automation systems are typically required. Analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These skills are essential for designing, implementing, and optimizing advanced control algorithms that improve system performance and reliability in complex industrial environments.
What cities near Richmond, BC are hiring for Model Predictive Control jobs? Cities near Richmond, BC with the most Model Predictive Control job openings:
Infographic showing various Model Predictive Control job openings in Richmond, BC as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution.

Automation Specialist (OT/ICSS)

Pacific Energy Canada

Vancouver, BC • On-site

Full-time

Re-posted 7 days ago


Job description

Project

The Woodfibre LNG Project is located approximately 7 km west-southwest of Squamish, British Columbia. It involves the construction and operation of a liquefied natural gas (LNG) export facility on the previous Woodfibre pulp mill site, which would have a storage capacity of 250,000 m3 and would produce approximately 2.1 million tons per year of LNG.

Woodfibre Management Ltd. is a privately held Canadian company based in Vancouver and a subsidiary of Pacific Energy Corporation Limited.

Position

The Automation Specialist is an integral part of Woodfibre LNG's dynamic team. Reporting directly to the Electrical & Instrumentation Maintenance Supervisor, the successful candidate will work closely with Operations, Maintenance, Engineering, and other stakeholders to ensure the uptime, reliability, and availability of ICSS and related automation systems. This role is critical in supporting the safe, efficient, and environmentally responsible operation of the Woodfibre LNG Plant. This position plays a key role in ensuring system integrity, operational continuity, and overall site reliability through effective automation support, troubleshooting, and continuous improvement of control systems and related infrastructure.

Key Responsibilities:

The successful applicant will:

  • Own the day‑to‑day availability, uptime, and operational health of plant automation and control systems, including ICSS, and packaged PLC systems.
  • Provide hands‑on troubleshooting and technical support to resolve automation‑related issues during commissioning, start‑up, operations, outages, and turnarounds.
  • Execute approved control system changes and upgrades in compliance with the Management of Change (MoC) process and applicable technical authority approvals.
  • Configure, maintain, and support automation systems, including control logic, graphics, alarms, system interfaces, and operating parameters.
  • Support the integration and ongoing operation of packaged PLC systems within the ICSS environment, ensuring reliable and consistent plant control.
  • Be accountable for the operational health and maintenance of automation infrastructure, including control servers, virtual machines, automation networks, backups, patches, and disaster‑recovery readiness.
  • Carry out OT cybersecurity activities, corporate policy and framework.
  • Maintain and support historian and automation data systems, ensuring accurate tag configuration, data quality, and reliable data flows.
  • Provide technical execution support for control philosophy implementation, including alarm management and advanced control initiatives (Advanced Process Control, Model Predictive Control, Advanced Regulatory Control).
  • Support execution and troubleshooting of safety systems, including SIS, Fire & Gas, and automation field interface systems (PRM, HART multiplexers).
  • Collaborate with multi‑disciplinary teams to diagnose and resolve instrumentation, electrical, and control‑related plant issues.
  • Act as a technical interface between Operations, Maintenance, Engineering, IT, and vendors for automation‑related matters.

HSSE

  • 100% compliance with company HSE policies and guidelines.
  • Champion HSE as a member of the LNG Operations Team.
  • Lead HSE Shift Meeting/ safety walks/audits if and when required.
  • Timely intervention to mitigate risks and ensure the safety of personnel and plant.
  • Demonstrate a personal commitment to influence overall safety behavior in the plant.
  • Safeguarding systems check lists are implemented/completed by Shift Operations to agreed frequencies and standards.
  • Execute plant wide operations hazards awareness program.
  • Initiate inputs for plant risk register and mitigation tracking process for operations.

Requirements

Required Experience:

  • Minimum 10+ years of relevant hands-on DCS/PLC plant automation experience
  • Technical diploma or degree in Automation, Instrumentation, Electrical, or related disciplines. Equivalent combination of education and experience will be considered.
  • OEM control system training/certification is considered an asset
  • Previous Yokogawa ICSS experience is considered an asset
  • Previous LNG or Gas Processing experience is considered an asset
  • Experience with Industrial Instrumentations, Electrical, Control domain is considered an asset
  • Must be able to demonstrate a high level of proficiency in industrial programming
  • Previous Commissioning, Start-up, and Turnaround experience an asset

Additional Requirements:

  • Energetic in pursuit of continuous improvement processes.
  • Experience working with multi-disciplinary teams, and contractors in a multicultural environment is an asset.
  • Communication/interpersonal skills – to be able to interact with front line workers through to management and all hierarchical levels.
  • Exceptional written and verbal communication skills.
  • Motivated and willing to take ownership of tasks.
  • Ability to work well under pressure and handle multiple tasks, targets and changing priorities within tight time frames.
  • Shares knowledge readily and encourages personal development.
  • Demonstrated computer knowledge with experience in SAP, Microsoft Outlook, Word, and Excel, etc.
  • A valid driver’s license (with abstract) and passport.
  • Must be legally entitled to work in Canada.
  • This role will be a site-based role.
  • The position is based in Squamish, BC (Project Site), and work in the Company’s Vancouver Office as required
  • The position is primarily site-based in Squamish, BC (Project Site), with an initial stay period at the Vancouver Office, and involves a combination of indoor warehouse and outdoor yard work, potential exposure to heavy equipment, industrial noise, and varying weather conditions, and may require extended working hours depending on operational needs.

Only qualified candidates legally entitled to work in Canada will be contacted.

Woodfibre Management Ltd. is an equal opportunity employer.

Benefits

Salary range: CAD 110,000 - 140,000/yr